Minimum Bayes risk combination of translation hypotheses from alternative morphological decompositions

Authors:
Adrià de Gispert;Sami Virpioja;Mikko Kurimo;William Byrne
Affiliations:
University of Cambridge, Cambridge, U.K.;Helsinki University of Technology, TKK, Finland;Helsinki University of Technology, TKK, Finland;University of Cambridge, Cambridge, U.K.
Venue:
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Year:
2009

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Abstract

We describe a simple strategy to achieve translation performance improvements by combining output from identical statistical machine translation systems trained on alternative morphological decompositions of the source language. Combination is done by means of Minimum Bayes Risk decoding over a shared N-best list. When translating into English from two highly inflected languages such as Arabic and Finnish we obtain significant improvements over simply selecting the best morphological decomposition.